class_docstr: y = a * x + b
class_docstr_tok: ["y","=","a","*","x","+","b"]
code: def __init__(self, a, b, size=1000):
      x = np.arange(0, 10, 10 / size, dtype=np.float32)
      self.x = torch.from_numpy(x)
      self.y = torch.from_numpy(a * x + b)
  
file_path: ray/python/ray/train/examples/pytorch/torch_linear_example.py
imports: import argparse
  import os
  import tempfile
  import numpy
  import torch
  import torch.nn
  import ray.train
  from ray.train import Checkpoint, RunConfig, ScalingConfig
  from ray.train.torch import TorchTrainer
label_desc: Use image node_id 1 to create a new LinearDataset object from inherited base classes: torch.utils.data with example: obj = LinearDataset(a, b, size)